Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E736422D357151390BBD1C8F1764B4A22828789C6134FB567FD23BDBDCECB53A52298 |
|
CONTENT
ssdeep
|
1536:O+uG5UNAvLXJBOPUgOq6J8ZKAPgB6AhGp+IYHb59rYaprjMsetqemGBegbNe8sDJ:yOGPUgOq6V/59rYaprG1BeRIBpS5CNZE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9c6cd32f983cd24 |
|
VISUAL
aHash
|
e3c33affc38300fb |
|
VISUAL
dHash
|
2ba6e29a0eaa8ab3 |
|
VISUAL
wHash
|
c3c232ffc38202fb |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
2ba6e29a0eaa8ab3,7119e571350b2bd4,1d3c585b5c5c7d1c,0d3c5c5b5e5c7d1c,8a8a05559f9c9c9a,d6693248cccc442c,1d3c585b5c5c7d1c,0d3c5c5b5e5c7d1c,272b392b2b3323cc,ccb61f978323232b |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 20 techniques to evade detection by security scanners and make reverse engineering more difficult.